Bibliographic record
Abstract
The city of Glasgow contains the highest concentration of social housing tower blocks in the UK – however a quarter of Glasgow’s high-rises have been demolished in less than 10 years and many more are assigned for demolition as part of the city’s plans for regeneration. However, this is an intrinsically expensive route to achieving the required number of affordable, energy-efficient housing units and instead many of the surviving tower blocks have been subject to a programme of retrofit to improve energy efficiency and thermal performance for residents. This paper looks at the four existing building typologies and their energy performance before the programme of external insulation and installation of a community CHP system providing residents with new efficient heating systems. Thermal energy data recorded and predicted from the ‘as existing’ scenarios are compared against the dataset of measured thermal energy consumption from 970 homes across all house-types from the first 12 months following retrofit. The data compares not only the actual thermal energy savings but also illustrates the cost saving to the resident and discusses methods of sharing the cost of communal standing charges equitably among residents taking cognizance of house-type size, number of occupants and their type of tenure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".